DiffractionGratingNew

：主要介绍m序列、Gold序列、Kasami序列和JPL序列的生成原理及其MATLAB的实现，并介绍如何用MATLAB中 Simullnk对其进行硬件仿真，给出了相应自相关和互相关结果。(: The main introduction m sequence, Gold sequences, Kasami sequences and sequences generated JPL principle and the realization of MATLAB, and introduce how to use MATLAB in their Simullnk hardware simulation, the corresponding auto-correlation and cross-correlation results.)

首先是编写2个输入，1个输出的隶属度函数；接下来的是模糊规则，一共49条；然后用解模糊函数得出控制量U，这里输出的U就直接是精确量了，解模糊用到得规则是取隶属度最大的那个数即MOM算法。 显示的三个图形窗口分别是：模糊控制器内部原理图，以及2个输入，1个输出的隶属度函数图。 (Fuzzy PID controller MATLAB simulation program )

认知无线电 协方差检测算法 功能强大而全面 适用于初学者(Cognitive radio covariance powerful and comprehensive detection algorithms for beginners)

this is a matlab gui of power flow solutions, it has guass-seidel, newton raphson and fast decouple

基于小波变换的局部放电信号消噪技术研究，包括程序和参考文献。(Noise cancellation technology research partial discharge signal based on wavelet transform, including the program and reference papers.)

hermite,uwb成形脉冲函数,不同导数时(hermite, uwb pulse shaping function, different derivative when)

就是根据隧道照明的影响因素，编写的控制策略(Is based on the impact of tunnel lighting factors, the preparation of the control strategy)

层次分析法（Analytic Hierarchy Process简称AHP）是将与决策总是有关的元素分解成目标、准则、方案等层次，在此基础之上进行定性和定量分析的决策方法。这里提出层次分析法的matlab源程序(AHP (Analytic Hierarchy Process referred AHP) is always associated with the decision-making elements into goals, guidelines, programs and other levels, on this basis for qualitative and quantitative analysis of decision-making methods. AHP presented here matlab source)

FIR与IIR滤波器在DSP上的实现.　　　DSP是利用计算机或专用DSP处理器，以数字形式对信号进行采集、变换、滤波、估值、增强、压缩、识别等处理，以得到符合人们需要的信号形式。FIR(Finite Impulse Response)滤波器：有限长单位冲激响应滤波器，又称为非递归型滤波器，是数字信号处理系统中最基本的元件，它可以在保证任意幅频特性的同时具有严格的线性相频特性，同时其单位抽样响应是有限长的，因而滤波器是稳定的系统。(FIR and IIR filter is implemented on the DSP. DSP is the use of a computer or a dedicated DSP processor in digital form to the signal acquisition, conversion, filtering, valuation, enhancement, compression, recognition processing needs of the people to give signal form. FIR (Finite Impulse Response) filter: finite impulse response filter units, also known as non-recursive filters, digital signal processing system is the most basic element, it can guarantee any amplitude-frequency characteristics of both a strict linear phase-frequency characteristics, while the unit sampling response is of finite length, and thus the filter is stable system.)

attached file contain two algorithm for classification.K_means and K Nearest Neiborhood. and related m_filles in matlab